Evidence map›Paper›PMID 34631341›Full record

ArticleEuropean physical journal plus2021

Dynamics of coronavirus pandemic: effects of community awareness and global information campaigns.

Pankaj Kumar Tiwari, Rajanish Kumar Rai, Subhas Khajanchi, Rabindra Kumar Gupta, Arvind Kumar Misra

Open access · bronzeAbstract read
In one paragraph

Article in European physical journal plus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
8.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 104 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 2 countries.

Pankaj Kumar TiwariDepartment of Basic Science and Humanities, Indian Institute of Information Technology, Bhagalpur, 813210 India.
Rajanish Kumar RaiDepartment of Mathematics, School of Sciences, National Institute of Technology Andhra Pradesh, Tadepalligudem, 534101 India.ORCID 0000-0002-8815-7808
Subhas KhajanchiDepartment of Mathematics, Presidency University, Kolkata, 700073 India.
Rabindra Kumar GuptaDepartment of Mathematics, Institute of Science, Banaras Hindu University, Varanasi, 221005 India.
Arvind Kumar MisraDepartment of Mathematics, Institute of Science, Banaras Hindu University, Varanasi, 221005 India.
Banaras Hindu University · INIndian Institute of Information Technology Allahabad · INNational Institute of Technology Andhra Pradesh · INPresidency University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effects of social media advertisements together with local awareness in controlling COVID-19 are explored in the present investigation by means of a mathematical model. The expression for the basic reproduction number is derived. Sufficient conditions for the global stability of endemic equilibrium are obtained. We perform sensitivity analysis to identify the key parameters of the model having great impacts on the prevalence and control of COVID-19. We calibrate the proposed model to fit the data set of COVID-19 cases for India. Our simulation results show that dissemination rate of awareness among susceptible individuals at community level and individual level plays pivotal role in curtailing the COVID-19 disease. Moreover, we observe that the global information distributing from social media and local awareness coming from mouth-to-mouth communication between unaware susceptible and aware people, together with hospitalization of symptomatic individuals and quarantine of asymptomatic individuals, are much beneficial in reducing COVID-19 cases in India. Our study suggests that both global and local awareness must be implemented effectively to manage the burden of COVID-19 pandemic.

Identifiers

PMID34631341
PMCPMC8488933
OpenAlexW3202467068

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.